One of the critical KPIs for telecom operators is 99.999% availability. Of course, it should be assured even after introducing Cloud-native Network Functions (CNFs). How can we achieve this carrier-grade quality in the coming networks? How to maintain observability for CNFs? eBPF is expected to help telcos manage CNFs and keep the environment resilient with its high-performance, flexibility, and scalability. This talk will share how you can apply eBPF tools such as bcc and bpftrace to collecting fine-grained information (e.g. TCP retransmit) for network operation as well as how such data can be leveraged to developing ML models. This talk will also walk you through a test result in a 5G core network deployed by Kubernetes to show you what network data derived by eBPF are essential for failure prediction.
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